Gaps in Neuroethics in Relation to Brain Computer Interfaces: Systematic Literature Review

Hosseini, Negar; Kumar, Praveen

doi:10.1007/978-3-030-49065-2_32

Cited by 5 publications

(2 citation statements)

References 15 publications

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“…Despite such a long history of development and nearly two decades of work on the ethical implications of this technology [18,[32][33][34][35][36], there has been little progress translating such understanding into actionable guidance [14,18].…”

Section: Historymentioning

confidence: 99%

Applying the IEEE BRAIN neuroethics framework to intra-cortical brain-computer interfaces

Soldado-Magraner,

Antonietti,

French

et al. 2024

J. Neural Eng.

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Brain-computer interfaces (BCIs) are neuroprosthetic devices that allow for direct interaction between brains and machines. These types of neurotechnologies have recently experienced a strong drive in research and development, given, in part, that they promise to restore motor and communication abilities in individuals experiencing severe paralysis. While a rich literature analyzes the ethical, legal, and sociocultural implications (ELSCI) of these novel neurotechnologies, engineers, clinicians and BCI practitioners often do not have enough exposure to these topics. Here, we present the IEEE Neuroethics Framework, an international, multiyear, iterative initiative aimed at developing a robust, accessible set of considerations for diverse stakeholders. Using the framework, we provide practical examples of ELSCI considerations for BCI neurotechnologies. We focus on invasive technologies, and in particular, devices that are implanted intra-cortically for medical research applications. We demonstrate the utility of our framework in exposing a wide range of implications across different intra-cortical BCI technology modalities and conclude with recommendations on how to utilize this knowledge in the development and application of ethical guidelines for BCI neurotechnologies.

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Section: Historymentioning

confidence: 99%

Applying the IEEE BRAIN neuroethics framework to intra-cortical brain-computer interfaces

Soldado-Magraner,

Antonietti,

French

et al. 2024

J. Neural Eng.

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“…The literature on BCI is dominated with the application and processes surrounding BCI systems; little has been done to review the ethical implications, and this raised more questions than answers [ 22 , 93 ]. Historically, ethics were not a focus in reviews, although the procedures are more invasive than modern to BCI systems [ 32 , 46 ].…”

Section: Introductionmentioning

confidence: 99%

Identifying Thematics in a Brain‐Computer Interface Research

Alharbi

2023

Computational Intelligence and Neuroscience

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This umbrella review is motivated to understand the shift in research themes on brain-computer interfacing (BCI) and it determined that a shift away from themes that focus on medical advancement and system development to applications that included education, marketing, gaming, safety, and security has occurred. The background of this review examined aspects of BCI categorisation, neuroimaging methods, brain control signal classification, applications, and ethics. The specific area of BCI software and hardware development was not examined. A search using One Search was undertaken and 92 BCI reviews were selected for inclusion. Publication demographics indicate the average number of authors on review papers considered was 4.2 ± 1.8. The results also indicate a rapid increase in the number of BCI reviews from 2003, with only three reviews before that period, two in 1972, and one in 1996. While BCI authors were predominantly Euro-American in early reviews, this shifted to a more global authorship, which China dominated by 2020–2022. The review revealed six disciplines associated with BCI systems: life sciences and biomedicine (n = 42), neurosciences and neurology (n = 35), and rehabilitation (n = 20); (2) the second domain centred on the theme of functionality: computer science (n = 20), engineering (n = 28) and technology (n = 38). There was a thematic shift from understanding brain function and modes of interfacing BCI systems to more applied research novel areas of research-identified surround artificial intelligence, including machine learning, pre-processing, and deep learning. As BCI systems become more invasive in the lives of “normal” individuals, it is expected that there will be a refocus and thematic shift towards increased research into ethical issues and the need for legal oversight in BCI application.

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Having the Ability to Have a Good Life: What Might Be the Impact of BCIs?

Lillywhite

Wolbring

2023

Advances in Neuroethics

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Gaps in Neuroethics in Relation to Brain Computer Interfaces: Systematic Literature Review

Cited by 5 publications

References 15 publications

Applying the IEEE BRAIN neuroethics framework to intra-cortical brain-computer interfaces

Applying the IEEE BRAIN neuroethics framework to intra-cortical brain-computer interfaces

Identifying Thematics in a Brain‐Computer Interface Research

Having the Ability to Have a Good Life: What Might Be the Impact of BCIs?

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